RETRACTED ARTICLE: Performance analysis of nature inspired load balancing algorithm in cloud environment

Cloud computing has emerged as a new technology which allows the users to store their data and retrieve it over internet on demand instead of using their own hardware. Cloud works with different data centers (DCs) (server) and user bases (UBs) (clients). One of the main challenges which requires focus in the cloud computing is task scheduling. In task scheduling the cloud should have the capability of managing the incoming load to achieve the better performance by allocating suitable resources as per the user request. The performance of the cloud can be further increased by selecting suitable DC which is closer to the UB. This article measures the performance analysis of various nature inspired load balancing algorithms to identify total response time (TRT) and data center processing time (DCPT) in cloud environment. The simulation is carried out using cloud analyst tool which is an extension of cloudsim and the results obtained which indicates water wave algorithm performs better in terms of TRT and particle swarm optimization scores well in the aspect of DCPT for varying different number of DCs and UBs.